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Understanding broadcast videos is a challenging task in computer vision, as it requires generic reasoning capabilities to appreciate the content offered by the video editing.
Signature verification using a ”siamese” time delay neural network
Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, and Roopak Shah · 1993
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Projection detecting filter for video cut detection
Kiyotaka Otsuji and Yoshinobu Tonomura · 1993
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Projection-detecting filter for video cut detection
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Ramin Zabih, Justin Miller, and Kevin Mai · 1995
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Comparison of video shot boundary detection techniques
John S. Boreczky and Lawrence A. Rowe · 1996
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Linking live and replay scenes in broadcasted sports video
Noboru Babaguchi, Yoshihiko Kawai, Yukinobu Yasugi, and Tadahiro Kitahashi · 2000
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Robust camera calibration for sport videos using court models
Dirk Farin, Susanne Krabbe, Peter de With, and Wolfgang Effelsberg · 2003
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Christian Schuldt, Ivan Laptev, and Barbara Caputo · 2004
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Replay scene based sports video abstraction
Jian-quan Ouyang, Jin-tao Li, and Yong-dong Zhang · 2005
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Jinjun Wang, EngSiong Chng, and Changsheng Xu · 2005
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Highlight summarization in sports video based on replay detection
Zhao Zhao, Shuqiang Jiang, Qingming Huang, and Guangyu Zhu · 2006
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Lena Gorelick, Moshe Blank, Eli Shechtman, Michal Irani, and Ronen Basri · 2007
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Enhanced shot change detection using motion features for soccer video analysis
Yichuan Hu, Bo Han, Guijin Wang, and Xianggang Lin · 2007
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Efficient and robust shot change detection
Sébastien Lefèvre and Nicole Vincent · 2007
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Cross-view action recognition from temporal self-similarities
Imran N Junejo, Emilie Dexter, Ivan Laptev, and Patrick Púrez · 2008
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Action MACH a spatio-temporal maximum average correlation height filter for action recognition
Mikel D Rodriguez, Javed Ahmed, and Mubarak Shah · 2008
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Shot classification in broadcast soccer video
Xiaofeng Tong, Qingshan Liu, and Hanqing Lu · 2008
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A statistical framework for replay detection in soccer video
Ying Yang, Shouxun Lin, Yongdong Zhang, and Sheng Tang · 2008
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Actions in context
Marcin Marszalek, Ivan Laptev, and Cordelia Schmid · 2009
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Modeling temporal structure of decomposable motion segments for activity classification
Juan Carlos Niebles, Chih-Wei Chen, and Li Fei-Fei · 2010
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HMDB: a large video database for human motion recognition
Hilde Kuehne, Hueihan Jhuang, Estibaliz Garrote, Tomaso. Poggio, and Thomas Serre · 2011
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A robust replay detection algorithm for soccer video
Wei Xu and Yang Yi · 2011
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A database for fine grained activity detection of cooking activities
Marcus Rohrbach, Sikandar Amin, Mykhaylo Andriluka, and Bernt Schiele · 2012
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UCF101: A dataset of 101 human actions classes from videos in the wild
Khurram Soomro, Amir Roshan Zamir, and Mubarak Shah · 2012
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Pyscenedetect: Video scene cut detection and analysis tool, 2014
Brandon Castellano · 2014
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THUMOS Challenge: Action Recognition with a Large Number of Classes
Yu-Gang. Jiang, Jingen Liu, Amir Roshan Zamir, George Toderici, Ivan Laptev, Mubarak Shah, and Rahul Sukthankar · 2014
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Large-scale Video Classification with Convolutional Neural Networks
Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, and Li Fei-Fei · 2014
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The language of actions: Recovering the syntax and semantics of goal-directed human activities
Hilde Kuehne, Ali Arslan, and Thomas Serre · 2014
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Computer Vision in Sports
Thomas B. Moeslund, Graham Thomas, and Adrian Hilton · 2014
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Bayesian Optimization: Open source constrained global optimization tool for Python, 2014
Fernando Nogueira · 2014
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ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding
Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, and Juan Carlos Niebles · 2015
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Siamese neural networks for one-shot image recognition
Gregory R. Koch · 2015
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Bayesian network-based customized highlight generation for broadcast soccer videos
Maheshkumar H. Kolekar and Somnath Sengupta · 2015
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Scikit-video: Video processing in python, 2015
Scikit-Video Developers · 2015
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Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
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YouTube-8M: A large-scale video classification benchmark
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, and Sudheendra Vijayanarasimhan · 2016
AVA: A video dataset of spatio-temporally localized atomic visual actions
Chunhui Gu, Chen Sun, David A Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, et al · 2018
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Konstantinos Rematas, Ira Kemelmacher-Shlizerman, Brian Curless, and Steve Seitz · 2018
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Action recognition based on discriminative embedding of actions using siamese networks
Debaditya Roy, C Krishna Mohan, and K Sri Rama Murty · 2018
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Soccer: Who has the ball? Generating visual analytics and player statistics
Rajkumar Theagarajan, Federico Pala, Xiu Zhang, and Bir Bhanu · 2018
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Every moment counts: Dense detailed labeling of actions in complex videos
Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, and Li Fei-Fei · 2018
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View-independent action recognition: A hybrid approach
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Spot on: Action localization from pointly-supervised proposals
Pascal Mettes, Jan C van Gemert, and Cees GM Snoek · 2016
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Recognizing fine-grained and composite activities using hand-centric features and script data
Marcus Rohrbach, Anna Rohrbach, Michaela Regneri, Sikandar Amin, Mykhaylo Andriluka, Manfred Pinkal, and Bernt Schiele · 2016
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Hollywood in homes: Crowdsourcing data collection for activity understanding
Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, and Abhinav Gupta · 2016
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Human action localization with sparse spatial supervision
Philippe Weinzaepfel, Xavier Martin, and Cordelia Schmid · 2016
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Junqing Yu, Aiping Lei, Zikai Song, Tingting Wang, Hengyou Cai, and Na Feng · 2018
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Multi-Person 3D Pose Estimation and Tracking in Sports
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ARTHuS: Adaptive Real-Time Human Segmentation in Sports Through Online Distillation
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Associative Embedding for Team Discrimination
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Football shot detection using convolutional neural networks
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Multi-moments in time: Learning and interpreting models for multi-action video understanding
Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogerio Feris, and Aude Oliva · 2019
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A public data set of spatio-temporal match events in soccer competitions
Luca Pappalardo, Paolo Cintia, A. Rossi, Emanuele Massucco, P. Ferragina, D. Pedreschi, and F. Giannotti · 2019
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Generation of Ball Possession Statistics in Soccer Using Minimum-Cost Flow Network
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Refining joint locations for human pose tracking in sports videos
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Hacs: Human action clips and segments dataset for recognition and temporal localization
Hang Zhao, Antonio Torralba, Lorenzo Torresani, and Zhicheng Yan · 2019
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Using player’s body-orientation to model pass feasibility in soccer
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Top-20 european football clubs breakdown of revenues 2018/19 season (in million euros)
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